Week 2: R Intro and Basic Statistics

Weekly Objectives

• Install R and R Studio
• Install R packages
• Load and save data using Excel
• Using and writing R functions
• Calculate summary statistics
• Generate random numbers and set random seed

Lecture Note

• [Introduction to R, RStudio and R Markdown]
• The original .Rmd [Source File] used to generate the lecture note
• The birthrate data in .csv format

R Examples

• R Markdown [Tutorial], its [Source File]
• The skin cancer data

NHANCE data introduction

You need to use some public available dataset to support the final project analysis. NHANCE data is a rich nation-wide questionnaire data provided by the CDC. If you choose to use the NHANCE data, some data processing need to be done. Here is a [toy example] for downloading and processing the 2015-2016 data. For your own analysis, you may want to consider the more recent 2017-2018 data. Additional source files:

• .Rmd [Source File]
• Data Files (from NHANES 2015-2016)
  • Demographic data: DEMO_I.XPT
  • Dietary data: DR1IFF_I.XPT
  • Diabetes data: DIQ_I.XPT
  • Examination data: BMX_I.XPT

Homework

• Discuss with your team members about the final project idea and data sources
• Practice the summary statistics and data visualization functions in R
• Reading: Sections 5.5.4 from the BPS textbook to prepare for next week’s lecture